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View Synthesis from multi-view RGB data using multi layered representation and volumetric estimation
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作者 Zhaoqi SU tiansong zhou +2 位作者 Kun LI David BRADY Yebin LIU 《Virtual Reality & Intelligent Hardware》 2020年第1期43-55,共13页
Background Aiming at free-view exploration of complicated scenes,this paper presents a method for interpolating views among multi RGB cameras.Methods In this study,we combine the idea of cost volume,which represent 3 ... Background Aiming at free-view exploration of complicated scenes,this paper presents a method for interpolating views among multi RGB cameras.Methods In this study,we combine the idea of cost volume,which represent 3 D information,and 2 D semantic segmentation of the scene,to accomplish view synthesis of complicated scenes.We use the idea of cost volume to estimate the depth and confidence map of the scene,and use a multi-layer representation and resolution of the data to optimize the view synthesis of the main object.Results/Conclusions By applying different treatment methods on different layers of the volume,we can handle complicated scenes containing multiple persons and plentiful occlusions.We also propose the view-interpolation→multi-view reconstruction→view interpolation pipeline to iteratively optimize the result.We test our method on varying data of multi-view scenes and generate decent results. 展开更多
关键词 View interpolation Cost volume Multi-layer processing Multi-view reconstruction Iterative optimization
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